Virtual Driverless Car
- Grades: 9+
- Number of Students: 1
- Number of Lessons: 12
- Contact Hours: 20
- Additional Resources: Free AI Samples, Real World AI Applications & Additional Resources, AIWS Course Overview, AIWS Course Curriculum Overview
Highlights:
Discover the future of driving with AI World School's Virtual Driverless Car Course! Designed for 14 and above, this advanced course features 20 hands-on sessions delving into Neural Networks, Machine Learning and Driverless Cars. You'll use cutting-edge tools like python3, Colab, PyCharm, and anaconda environment. Apply what you've learned in a capstone project and receive a certificate upon completion. Your one-year license includes online, self-paced learning and membership in the AIWS community.
Features:
- Age range: 14 and above
- Level: Advanced
- Duration: 20 Sessions x ~ 1 hour
- Mode: Online and Self-Learning
- Learning content: Rich & Experiential
- # of lessons: ~ 12
- # of quizzes:
- Learning Experience: Hands-On
- Concepts: Neural Networks, Machine Learning and Driverless car.
- Coding tools: python3, Colab, PyCharm, anaconda environment,
- Capstone projects: 1
- Subscription validity: One year
- Course Certificate on Completion
- Membership to AIWS Community
Curriculum or Lesson Topics:
Courses
Virtual driverless car can be used to train self-driving cars using reinforcement learning. Driverless cars are boon to science and technology which integrates AI, Robotics and engineering. Develop and learn the methodology to become a Virtual driverless car expert.
- Introduction to Self Driving
- Introduction to Computer Vision
- Basic Concepts of Neural Networks
- Building a Traffic Sign Classifier
- Running Your Self Driving Car
Curriculum
| Themes and Modules | Learning Outcomes |
| What is AI? | This experiential course provides students with an overview and concepts of Artificial Intelligence |
| Do we need self-driving cars? | Describes a self -driving car and its applications. |
| Are there different levels of self driving? | Explains about the US National Highway Traffic Safety Administration |
| Are Sensors available in self-driving cars? | Discover various sensors in Autonomous Vehicle |
| Does computer vision have? | Analyse an computer vision tools to detect the lane lines on roads |
| What is Machine Learning? | Model and nurture creativity and creative expression by understanding Machine Learning |
| Is Advance Lane Tracking in video? | Identifies the pipeline and track the position of lane lines in video stream using detection techniques |
| What is Neural Networks? | Learn about more input, output and hidden layers |
| What is the MNIST Dataset? | Explore more about the handwritten digit classification |
| Do we need a traffic-sign recognizer? | Build and experience the summarization, distribution and validating the dataset |
What’s Included:
1-year access to 1 student for AI World School's Virtual Driverless Car course program.
Additional Information and Resources:
- Free AI Samples
- Real World AI Applications & Additional Resources
- AIWS Course Overview
- AIWS Course Curriculum Overview
Technology Requirements/Specifications:
Minimum Tech Requirements:
- Operating System: Windows 10+
- CPU: Intel Core i3 & above | 64 bit processor
- RAM: 4 GB minimum
- Network: Wired DSL Internet Connection, 40 Mbps minimum
Special Notes and Considerations:
PLEASE NOTE: This product is a temporary digital license and not a physical product. We DO NOT accept returns or refunds on digital licenses.
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